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2020 – today
- 2025
[c6]Nadezhda Shchegoleva
, Nadezhda Pronina, Nataliya Zalutskaya, Jasur Kiyamov:
Automated Classification and Segmentation of Brain Tumors on MRI Images Using Superpixel-Based Machine Learning. ICCSA (Workshops 9) 2025: 264-281- [c5]Nadezhda Shchegoleva, Petr Tonka, Natalia Zalutskaya:
Investigating Alzheimer's Disease Using a Sequential Analytical Pipeline for High-Dimensional, Low-Sample Biomedical Data. ICCSA (Workshops 9) 2025: 340-355 - 2024
- [c4]Alexander V. Bogdanov, Nadezhda Shchegoleva, Nataliya Zalutskaya:
A Promising Approach to Detect Early Signs of Disease in Old Age. ICCSA (Workshops 7) 2024: 358-368 - 2022
- [c3]Nadezhda Shchegoleva, Natalia Zalutskaya, Alina Dambaeva, Jasur Kiyamov, Aleksandr Dik:
New Technologies for Storing and Transferring Personal Data. ICCSA (Workshops 4) 2022: 680-692
2010 – 2019
- 2018
- [c2]Vladimir Korkhov, Vladislav Volosnikov, Andrey Vorontsov, Kirill Gribkov, Natalia Zalutskaya, Alexander B. Degtyarev, Alexander V. Bogdanov:
Data Storage, Processing and Analysis System to Support Brain Research. ICCSA (4) 2018: 78-90 - 2017
- [c1]Alexander V. Bogdanov, Alexander B. Degtyarev, Dmitriy Guschanskiy, Kirill Lysov, Nataliya Ananieva, Nataliya Zalutskaya, Nikolay Neznanov:
Analog-Digital Approach in Human Brain Modeling. CCGrid 2017: 807-812
Coauthor Index
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